code: def load_electricity_demand():
      """Load Turkish electricity demand daily data from 1 January 2000 to 31 December 2008.
      Returns
      -------
          pandas DataFrame
  
      Notes
      -----
      https://robjhyndman.com/publications/complex-seasonality/
  
      :return:
      """
  
      url = "https://robjhyndman.com/data/turkey_elec.csv"
      df = pd.read_csv(url, header=None, names=["electricity"])
      df["date"] = pd.date_range(
          start="1/1/2000",
          end="31/12/2008",
          freq="D",
      )
      # re-arrange columns
      df = df[["date", "electricity"]]
  
      return df
  
file_path: orbit/orbit/utils/dataset.py
imports: import pandas
  import numpy
  from datetime import datetime
label_desc: Use image node_id 5 for calling a global function with example usage: load_electricity_demand() and returns: df